It's the age of machine learning. Companies are seizing upon the power of this technology to combat risk, boost sales, cut costs, block fraud, streamline manufacturing, conquer spam, toughen crime fighting, and win elections. Want to tap that potential? It's best to start with a holistic, business-oriented course on machine learning – no matter whether you’re more on the tech or the business side. After all, successfully deploying machine learning relies on savvy business leadership just as much as it relies on technical skill. And for that reason, data scientists aren't the only ones who need to learn the fundamentals. Executives, decision makers, and line of business managers must also ramp up on how machine learning works and how it delivers business value. And the reverse is true as well: Techies need to look beyond the number crunching itself and become deeply familiar with the business demands of machine learning. This way, both sides speak the same language and can collaborate effectively. This course will prepare you to participate in the deployment of machine learning – whether you'll do so in the role of enterprise leader or quant. In order to serve both types, this course goes further than typical machine learning courses, which cover only the technical foundations and core quantitative techniques. This curriculum uniquely integrates both sides – both the business and tech know-how – that are essential for deploying machine learning. It covers: – How launching machine learning – aka predictive analytics – improves marketing, financial services, fraud detection, and many other business operations – A concrete yet accessible guide to predictive modeling methods, delving most deeply into decision trees – Reporting on the predictive performance of machine learning and the profit it generates – What your data needs to look like before applying machine learning – Avoiding the hype and false promises of “artificial intelligence” – AI ethics: social justice concerns, such as when predictive models blatantly discriminate by protected class NO HANDS-ON AND NO HEAVY MATH. This concentrated entry-level program is totally accessible to business leaders – and yet totally vital to data scientists who want to secure their business relevance. It's for anyone who wishes to participate in the commercial deployment of machine learning, no matter whether you'll play a role on the business side or the technical side. This includes business professionals and decision makers of all kinds, such as executives, directors, line of business managers, and consultants – as well as data scientists. BUT TECHNICAL LEARNERS SHOULD TAKE ANOTHER LOOK. Before jumping straight into the hands-on, as quants are inclined to do, consider one thing: This curriculum provides complementary know-how that all great techies also need to master. It contextualizes the core technology, guiding you on the end-to-end process required to successfully deploy a predictive model so that it delivers a business impact. LIKE A UNIVERSITY COURSE. This course is also a good fit for college students, or for those planning for or currently enrolled in an MBA program. The breadth and depth of the overall three-course specialization is equivalent to one full-semester MBA or graduate-level course. IN-DEPTH YET ACCESSIBLE. Brought to you by industry leader Eric Siegel – a winner of teaching awards when he was a professor at Columbia University – this curriculum stands out as one of the most thorough, engaging, and surprisingly accessible on the subject of machine learning. VENDOR-NEUTRAL. This course includes illuminating software demos of machine learning in action using SAS products. However, the curriculum is vendor-neutral and universally-applicable. The contents and learning objectives apply, regardless of which machine learning software tools you end up choosing to work with.

Are your customers at the centre of your organisation’s strategy? An understanding of marketing analytics, the core component of this course, is crucial to serving your customers well. Through structured learning activities (video lectures, quizzes, discussion prompts, industry interviews and written assessments) this course will teach you what to measure – and how – in order to maximise customer value. Rapid advancements in technology mean more powerful data and analytics can inform marketing decisions. However, multiple touchpoints across the customer journey make it increasingly difficult to measure effectiveness. You will develop an understanding of traditional and digital marketing metrics and what questions they answer, as well as how to achieve a single integrated view of the customer. You’ll experiment with behaviour and predictive analytics to develop marketing that delivers customers the right product via the right channel at the right time.

By the end of this project, you will create a free account on Microsoft 365, you will get access to Microsoft OneNote, you will create a notebook with sections and pages, you will add content like text, pictures, videos, links, download add-ins, and will even explore Accessibility and translation tools. Your new skills will help you efficiently keep notes all in one place and share them with others.

In this course, you will obtain some insights about marketing to help determine whether there is an opportunity that actually exists in the marketplace and whether it is valuable and actionable for your organization or client. Week 1: Assess methods available for creating quantitative surveys, along with their advantages and disadvantages. Identify the type of questions that should be asked and avoid unambiguous survey questions. Week 2: Design, test, and implement a survey by identifying the target audience and maximizing response rates. You will have an opportunity to use Qualtrics, a survey software tool, to launch your own survey. Week 3: Analyze statistical models that can be applied to your marketing data, so that you can make data-driven decisions about your marketing mix. Week 4: Predict most likely outcomes from the marketing decisions and match the type of analysis needed for your business problem. Take Quantitative Research as a standalone course or as part of the Market Research Specialization. You should have equivalent experience to completing the second course in this specialization, Qualitative Research, before taking this course. By completing the third class in the Specialization, you will gain the skills needed to succeed in the full program.

The Supply Chain Planning course walks learners through the critical first step in Supply Chain Management, planning. In the course project scenario, your company supplies Personal Protective Equipment and ventilators to hospitals and clinics across the US. You have been asked by your company’s executives and state health officials to prepare an analysis of the US, by state and region, identifying locations of highest need for supplies and ventilators. This is called a Supply Plan. Throughout the course you will walk through building the Supply Plan. You'll begin by extracting the needed data then preparing the data for a Supply Plan. You will then create a PivotTable to analyze the data. From here you will learn how to create a set of visualizations and then add these visualizations to a presentation so that you can report on your findings.

In this 1-hour long project-based course, you will learn how to create a product design brainstorming with Miro as an online collaborative interactive tool, using different whiteboard and team work techniques and models such as brainwriting and SCAMPERS, utilize user personas and action based approaches in order to design and finally streamline ideas into an action plan with a timeline workflow. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This course will provide a comprehensive view of major and principal gift development work for students who seek to build upon their experiences gained in the introductory session. Participants will gain an understanding of the philosophy and strategies implemented in major gift development including prospect identification, how to initially engage a potential major gift donor, the process of cultivation and moves management, effective proposal writing, making a successful ask and on-going donor stewardship. Students will practice fundamental major gift development skills by developing their own prospect strategy, producing essential documents to support the process, and engaging in role playing activity to simulate interaction with prospects and donors.

Welcome to Course 2 of the E-Marketing Specialization: Strategies for Converting and Retaining Customers Online. In this course, we will begin with an introduction to Search Engine Marketing. We will then explore elements of an effective marketing campaign, landing pages, and strategies for converting and retaining your customer base. You are highly encouraged to use this course experience to begin building a digital marketing plan for your current or future business. The activities in this course are all designed to guide you through different sections of a digital marketing plan. Our learning goals for this course are to: - Explore how to leverage keywords and search engine marketing in your ad campaigns - Develop a sample pay per click (PPC) ad campaign that aligns with your marketing goals - Analyze a landing page and identify successful and unsuccessful elements - Recognize how to apply calls-to-action to increase customer conversion - Identify tactics of customer conversion and retention to add to your digital marketing plan

Storytelling is an essential part of leadership. Effective leaders communicate to inspire talent to excel; to partner with investors and communities; to engage with customers and clients and to grow their impact in the world as part of a global community. Cultivating an authentic, trustworthy and compelling narrative is vital to a leader’s success. This course helps leaders find their own story through personal branding; develop storytelling success with all constituencies; initiate an effective voice for crisis; interact well through social and third party media; and communicate a vision for innovation.

The capstone for the specialization will provide a learning experience that integrates across all the courses within it. It will involve analysis of a situation concerning a new enterprise – a venture of one’s own or within a larger organization – to develop the current business model and compare against alternative business models so as to identify potential opportunities and challenges.